{"id":"W2950616689","doi":"10.1016/j.carbpol.2019.114977","title":"Stretchable, tough, self-recoverable, and cytocompatible chitosan/cellulose nanocrystals/polyacrylamide hybrid hydrogels","year":2019,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Alberta","funders":"Alberta Innovates Bio Solutions; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Alberta Crop Industry Development Fund","keywords":"Self-healing hydrogels; Biocompatibility; Chitosan; Materials science; Carboxymethyl cellulose; Ultimate tensile strength; Composite material; Cellulose; Compressive strength; Methyl cellulose; Polyacrylamide; Adsorption; Chemical engineering; Nanotechnology; Polymer chemistry; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788099,0.0003768209,0.0001359129,0.0002215615,0.000119033,0.0002749599,0.0002207292,0.000278167,0.001119039],"category_scores_gemma":[0.0002197723,0.0001640277,0.0001647555,0.000138241,0.0001752482,0.0003556718,0.0001883508,0.0004015138,0.0002962759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314451,"about_ca_system_score_gemma":0.0002134935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006678235,"about_ca_topic_score_gemma":0.001692403,"domain_scores_codex":[0.9998837,0.00000718153,0.000008278671,0.00002817849,0.0000416697,0.00003099291],"domain_scores_gemma":[0.9998028,0.00004574083,0.00005997262,0.00001293004,0.00002963288,0.00004896891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001689438,0.000007864564,0.00003826292,0.00002495769,0.000002146792,0.00003314492,0.000008357092,0.00008913866,0.9985725,0.00007732552,0.0000412288,0.001088213],"study_design_scores_gemma":[0.00000858385,0.00004791885,0.0006971649,0.000003635802,0.000006322204,0.00007362403,0.000007786521,0.000800347,0.9975145,0.00002435044,0.0008074585,0.0000083111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762962,0.002458399,0.01544489,0.0001820489,0.00007366152,0.0000567476,0.0003356294,0.0002918709,0.004860509],"genre_scores_gemma":[0.984461,0.0007445312,0.009700633,0.0001303072,0.00002907969,0.00005248855,0.0001487815,0.00005430118,0.004678879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001119039,"threshold_uncertainty_score":0.003743589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007234189320372425,"score_gpt":0.2094386484855293,"score_spread":0.2022044591651569,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}